Publication
USING HYPERSPECTRAL AND MULTI-SPECTRAL REMOTE SENSING DATA TO BUILD SPECTRAL LIBRARY FOR LAND COVER CLASSIFICATION IN SAMARA, RUSSIA
(STEF92 Technology, 2017-11-20, Mukesh Singh Boori, Rustam Paringer, Komal Choudhary, Alexzander Kupriyanov)
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The main aim of this research work is to compare the performance of hyperspectral and multispectral data for spectral land cover classes and develop their spectral library in Samara, Russia. We were analyzed and compared Earth Observing-1 (EO-1) Hyperion hyperspectral data to Landsat 8 Operational Land Imager (OLI) and Advance Land Imager (ALI) multispectral data. Hyperspectral imagers, currently available on airborne platforms, provide increased spectral resolution over existing space based sensors that can docum...
Air Pollution and Climate Change2017